diff --git a/deploy/python/infer.py b/deploy/python/infer.py
index 7ce83c25a3656a6b9f27cc20885039d28be2263d..ee635c718ae3e3c3ba9f2857850ea20d40f7fe1b 100644
--- a/deploy/python/infer.py
+++ b/deploy/python/infer.py
@@ -553,6 +553,10 @@ class PredictConfig():
             self.nms = yml_conf['NMS']
         if 'fpn_stride' in yml_conf:
             self.fpn_stride = yml_conf['fpn_stride']
+        if self.arch == 'RCNN' and yml_conf.get('export_onnx', False):
+            print(
+                'The RCNN export model is used for ONNX and it only supports batch_size = 1'
+            )
         self.print_config()
 
     def check_model(self, yml_conf):
diff --git a/ppdet/engine/export_utils.py b/ppdet/engine/export_utils.py
index 08871ed3a1db09a9a86667fbd83fa5728d9c21c8..8f55f029396f6a5a8d35cc1eb172b5710a4350e4 100644
--- a/ppdet/engine/export_utils.py
+++ b/ppdet/engine/export_utils.py
@@ -126,7 +126,13 @@ def _dump_infer_config(config, path, image_shape, model):
         'metric': config['metric'],
         'use_dynamic_shape': use_dynamic_shape
     })
+    export_onnx = config.get('export_onnx', False)
+
     infer_arch = config['architecture']
+    if 'RCNN' in infer_arch and export_onnx:
+        logger.warning(
+            "Exporting RCNN model to ONNX only support batch_size = 1")
+        infer_cfg['export_onnx'] = True
 
     if infer_arch in MOT_ARCH:
         if infer_arch == 'DeepSORT':